Evaluation of a rapid coliform detection kit from clinical mastitis milk using colloidal gold nanoparticle-based immunochromatographic strips.

The accurate identification of mastitis-causing bacteria assists in effective management by both dairy farmers and veterinarians and can be used to implement the selective use of antimicrobials for treatment. The purpose of this study was to evaluate the ability of our developed anti-ribosomal protein-L7/L12 antibody-coated immunochromatographic strip (ICS) test to detect coliforms in milk by comparing the results with the bacteriological culture method. We investigated the performance of the ICS test as compared with the bacteriological culture method using 308 milk samples from clinical bovine mastitis. First, to determine the optimal ICS test cutoff point for detecting coliform mastitis, we developed a receiver-operating characteristic curve. The result showed that the cutoff point was at 0.5 of our index. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value of the ICS test were 81.3%, 84.8%, 69.2%, and 91.54%, respectively. As the clinical signs increased in severity, the F-measure, a weighted harmonic mean of the sensitivity and overall PPV performance, increased. Because it is especially important to treat clinical mastitis appropriately in the early stages of detection, the ICS test, which can be used by both dairy farmers and veterinarians on dairy farms, is considered to be a useful tool for detecting coliform mastitis, which often presents with severe signs.

The bacterial load in milk is associated with clinical severity in cases of bovine coliform mastitis.

We evaluated the relationship between the severity of coliform mastitis and bacterial load in 106 quarter milk samples. We found no significant relationship between somatic cell count and coliform bacterial load in milk in bovine clinical coliform mastitis. Results of the Cochran-Armitage test for trend in milk bacterial load proportions indicated a significant decreasing low group (P<0.001), increasing medium group (P<0.002) and increasing high group (P<0.02) with increasing clinical grade. The present study indicates that the coliform bacterial load in milk is significantly associated with clinical severity states in cases of bovine coliform mastitis, and can be a useful indicator for optimal management of this disease.

Molecular-based identification of yeasts isolated from bovine clinical mastitis in Japan.

This study analyzed molecular-based identification of yeasts that associated with bovine clinical mastitis in Japan. Over 3,200 quarter milk samples from Holstein dairy cows collected in 2011 on Hokkaido and Honshu islands were examined. Yeast isolates were characterized by polymerase chain reaction amplification and sequencing of the D1/D2 region of the 26S rDNA. Molecular characterization confirmed that Candida spp. and Pichia spp. were most frequently isolated species. Our molecular analysis of mastitic milk samples demonstrated the prevalence of Pichia kudriavzevii(22/58) and Candida tropicalis(14/58). In addition, we demonstrated that molecular analysis of the D1/D2 region of the 26S rDNA is a rapid and reliable method for identifying clinically significant yeasts in dairy hygiene, including potentially new or emerging pathogenic species.